Python 如何循环API键,以在最终数据帧中的单独行中获得它们的输出?
我是python新手,正在尝试通过数据进行循环: 我正在使用sendgrid api global stats端点,并且成功地获得了一个api密钥的输出 我的代码:Python 如何循环API键,以在最终数据帧中的单独行中获得它们的输出?,python,api,loops,dataframe,Python,Api,Loops,Dataframe,我是python新手,正在尝试通过数据进行循环: 我正在使用sendgrid api global stats端点,并且成功地获得了一个api密钥的输出 我的代码: import pandas as pd import json from pandas.io.json import json_normalize from datetime import date today = date.today().strftime('%Y-%m-%d') import http.client conn
import pandas as pd
import json
from pandas.io.json import json_normalize
from datetime import date
today = date.today().strftime('%Y-%m-%d')
import http.client
conn = http.client.HTTPSConnection("api.sendgrid.com")
payload = "{}"
headers = { 'authorization': "Bearer SG.FO0***" }
conn.request("GET", "/v3/stats?aggregated_by=day&start_date={d}&end_date={d}".format(d=today), payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
d = data.decode("utf-8")
d = json.loads(d)
d = d[0]['stats'][0]['metrics']
sendgrid = pd.DataFrame([d])
sendgrid.to_csv('sendgrid.csv')
sendgrid
Out[31]:
blocks bounce_drops bounces ... unique_opens unsubscribe_drops unsubscribes
0 7 14 9 ... 1240 0 0
输出:
import pandas as pd
import json
from pandas.io.json import json_normalize
from datetime import date
today = date.today().strftime('%Y-%m-%d')
import http.client
conn = http.client.HTTPSConnection("api.sendgrid.com")
payload = "{}"
headers = { 'authorization': "Bearer SG.FO0***" }
conn.request("GET", "/v3/stats?aggregated_by=day&start_date={d}&end_date={d}".format(d=today), payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
d = data.decode("utf-8")
d = json.loads(d)
d = d[0]['stats'][0]['metrics']
sendgrid = pd.DataFrame([d])
sendgrid.to_csv('sendgrid.csv')
sendgrid
Out[31]:
blocks bounce_drops bounces ... unique_opens unsubscribe_drops unsubscribes
0 7 14 9 ... 1240 0 0
但是,这是一个API密钥的输出。我在同一个帐户下有多个API密钥,并且具有按品牌排序的与它们相关的不同数据:
#marketing = SG.UdhzjmjYRC***
#operational = SG.FO0b2Oz***
#SEOmarketing = SG._dnhFlnrSL**
#FFTP = SG.4duN1bHiT9G1**
#PPI_operational = SG.F3zH**
我想循环使用每个品牌(营销、seo营销等)的每个API键,这样我就可以通过同一个应用程序,而不是创建多个应用程序,为所有品牌获取上述输出。
我的目标是使最终数据帧如下所示:
Brand blocks bounce_drops bounces ... unique_opens unsubscribe_drops unsubscribes
marketing 7 14 9 ... 1240 0 0
operational 8 12 7 2000 0 0
SEO 15 10 8 3333 1 0
我应该在代码中更改或添加什么?似乎您只需要创建一个包含键(部门名称)和值(API键)的应用程序,并在大部分工作所在的部分循环 提示:就在设置承载令牌之前,以及接收数据之后。然后将结果合并到同一数据帧中
import pandas as pd
import json
from pandas.io.json import json_normalize
from datetime import date
today = date.today().strftime('%Y-%m-%d')
import http.client
conn = http.client.HTTPSConnection("api.sendgrid.com")
payload = "{}"
keys = {
"marketing" : "SG.UdhzjmjYRC***",
"operational": "SG.FO0b2Oz***",
"SEOmarketing": "SG._dnhFlnrSL**",
"FFTP": "SG.4duN1bHiT9G1**",
"PPI_operational": "SG.F3zH**"
}
df = [] # Create new Dataframe
for name, value in keys.items():
headers = { 'authorization': "Bearer " + value }
conn.request("GET", "/v3/stats?aggregated_by=day&start_date={d}&end_date={d}".format(d=today), payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))
d = json.loads(data.decode("utf-8"))
row = d[0]['stats'][0]['metrics']
# Add Brand to data row here with 'name'
df.append(row) # Load data row into df
sendgrid = pd.DataFrame(df)
sendgrid.to_csv('sendgrid.csv')